The recent demand for video surveillance systems to reduce security threats and criminal activities has brought challenges due to both the overwhelmingly vast amount of content to monitor and the limited physical resources with which to do it. Automated artificial vision technology is becoming more widely adopted for monitoring and surveillance applications to reduce the need for physical resources and human intervention. Human activity analysis and prediction is one of the most desired features of an automated video surveillance systems and often involves tracking and the recognition of motion or other explicit action traits which are voluntarily performed by humans. However, there are often many ‘unseen actions’ that can be used to infer and ultimately predict human behaviour.
Social signals are communicative and informative signals that directly or indirectly provide information through a range of non-verbal behavioural cues including facial expressions, body postures and gestures, and vocal outbursts. Social Signal Processing (SSP) aims to provide a framework for systematic, algorithmic and computational analysis of social signals, building on existing knowledge from anthropology and social psychology. This project will build on this SSP knowledge and recent advances in artificial vision technology (e.g. visually analysing relevant behavioural cues like blinks, smiles, crossed arms, facial expressions, and similar) in order to design and develop automated video surveillance systems for prediction. This project will be supervised by academics from the School of Computing and Intelligent Systems and the School of Psychology.
Closing date: 28th April 2017
Further details can be found at:
https://www.ulster.ac.uk/__data/assets/pdf_file/0004/159511/DfE-Advert-SocialSignals-2017-2018.pdf
Best regards,
Dermot
--
Dr Dermot Kerr
Lecturer
School of Computing and Intelligent Systems
Ulster University
T: +44 28716 75330
E: d.kerr at ulster.ac.uk
W: www.ulster.ac.uk/staff/d.kerr.html
Skype: d.g.kerr
This email and any attachments are confidential and intended solely for the use of the addressee and may contain information which is covered by legal, professional or other privilege. If you have received this email in error please notify the system manager at postmaster at ulster.ac.uk and delete this email immediately. Any views or opinions expressed are solely those of the author and do not necessarily represent those of Ulster University.
The University's computer systems may be monitored and communications carried out on them may be recorded to secure the effective operation of the system and for other lawful purposes. Ulster University does not guarantee that this email or any attachments are free from viruses or 100% secure. Unless expressly stated in the body of a separate attachment, the text of email is not intended to form a binding contract. Correspondence to and from the University may be subject to requests for disclosure by 3rd parties under relevant legislation.
The Ulster University was founded by Royal Charter in 1984 and is registered with company number RC000726 and VAT registered number GB672390524.The primary contact address for Ulster University in Northern Ireland is Cromore Road, Coleraine, Co. Londonderry BT52 1SA